ABSTRACT Malayan pangolin populations have fallen to a critically endangered level, and illegal trafficking of wild pangolins is a global problem. Little is known about antimicrobial‐resistant bacteria (MDRB) harbored by pangolins, although pangolins are frequently consumed as food or used in traditional medicine. In this study, we report for the first
Yawen Wang +8 more
wiley +1 more source
Dual-Layer PSO-Enhanced Federated Heterogeneous Data Fusion for Hemodialysis Complication Prediction. [PDF]
Shih C, Chen CH, Yeah X.
europepmc +1 more source
Demand Estimation with Text and Image Data
ABSTRACT We propose a demand estimation approach that leverages unstructured data to infer substitution patterns. Using pre‐trained deep learning models, we extract embeddings from product images and textual descriptions and incorporate them into a mixed logit demand model.
Giovanni Compiani +2 more
wiley +1 more source
Adaptive Multi-Model Hierarchical Federated Learning for Robust IoT Intrusion Detection. [PDF]
Latif S, Djenouri D.
europepmc +1 more source
Mitigating policy uncertainty: What financial markets reveal about firm‐level lobbying
Abstract Elections can lead to substantial policy changes and, thus, are a significant source of risk. Firms can respond to such policy uncertainty by lobbying, but it is hard to quantify whether they do so and, if so, how much lobbying benefits them. We construct a new dataset and leverage investors’ expectations of variability in stock returns in the
Kristy Buzard +2 more
wiley +1 more source
Structural impact of non-IID heterogeneity on federated behavioral anomaly detection in IoT and IoMT systems. [PDF]
Robalino-Díaz J +3 more
europepmc +1 more source
Abstract We experimentally elicit views of what exploitation is from over 2,000 subjects. Our experimental design does not test existing theories of exploitation. Rather, it focuses on more fundamental properties that are the building blocks for these theories.
Benjamin Ferguson +3 more
wiley +1 more source
Federated deep reinforcement learning for privacy-preserving offloading in vehicular edge computing. [PDF]
Momani AM +6 more
europepmc +1 more source
A Bayes factor framework for unified parameter estimation and hypothesis testing
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley +1 more source
An interpretable multimodal biomechanical-radiological model for predicting fixation failure in osteoporotic hip fractures: A retrospective cohort study. [PDF]
Li H, Zhao H.
europepmc +1 more source

